Real-Time Quantitative Systems Developer

Referment

New York (NY)

On-site

USD 150,000 - 190,000

Full time

2 days ago
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Job summary

Referment is partnering with a global investment and technology firm to recruit software developers for challenging work at the heart of systematic investing. You will design and implement software for quantitative research, real-time data processing and trading decisions.

You will collaborate with researchers and engineers to translate complex requirements into reliable, scalable systems, tackling performance and scale challenges that impact analytical capability.

Qualifications

  • Substantial hands-on software development experience with strong foundations in algorithms, data structures and software design.
  • Excellent analytical and quantitative problem-solving ability.
  • A record of high achievement in computer science, mathematics, engineering or a related technical field.
  • The ability to collaborate clearly on complex technical problems and contribute to rigorous design decisions.

Responsibilities

  • Design and build software for quantitative research and systematic trading.
  • Develop distributed systems that analyse and respond to incoming data in real time.
  • Create tools for advanced mathematical modelling and statistical analysis.
  • Work with researchers and other developers to translate complex requirements into reliable, maintainable systems.
  • Investigate performance and scale challenges where engineering choices directly affect analytical capability.

Skills

Software development
Algorithms & data structures
Analytical thinking
Collaboration

Education

CS/Math/Engineering degree

Job description

Referment is partnering with a global investment and technology firm to recruit software developers for challenging work at the heart of systematic investing. You will design and implement software for quantitative research, real-time data processing and trading decisions.

You will collaborate with researchers and engineers to translate complex requirements into reliable, scalable systems, tackling performance and scale challenges that impact analytical capability.

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